Data Engineer

Role Overview

Join the company with the best reputation in the country, as a Data Engineer in the Administration and Finance Management department. Develop, build, test, implement, and maintain data solutions and pipelines, applying technical standards and guidelines.

What You Will Do

Develop batch and streaming data processing solutions, build and maintain data ingestion, transformation, and loading pipelines (ETL/ELT), and monitor and optimize pipeline performance.

Why It Might Be a Fit

Collaborate with business teams in the productization of data-based solutions, act as Data Custodian, and execute data validation, profiling, and reconciliation processes.

Requirements

• Professional degree in Civil Engineering, Computer Science, or related field
• At least 2 years of experience in Data Engineering, ETL/ELT processes, data integration, Data Warehouse, or Data Lake
• Advanced SQL management and programming in Python or Spark
• Demonstrable experience in cloud data platforms (GCP, AWS, or Azure, ideally GCP)
• Experience with data processing and orchestration tools (Dataflow, Apache Airflow/Cloud Composer, Dataform, Spark, or Databricks)
• Knowledge of code versioning (Git), CI/CD, data architectures (batch/streaming), and dimensional/relational models

Tagged as: Pipeline Management, Python, SQL